What happens when a 26-year construction veteran decides to reinvent an entire industry?

In this episode of "Pitch, Build, Scale", host Chris Fanchi sits down with Steve Dell’Orto, Founder & CEO of Concntric, to explore how his company became the first AI-powered pre-construction platform, uniting data, workflows, and people into a single, intuitive system.

Steve shares what it means to “bear hug AI”, why simplicity is the hardest design challenge, and how the right UX can turn skeptics into advocates in one of the world’s most traditional industries.

From eliminating redundant workflows to building an agentic AI layer that helps teams do the work of ten people, this conversation reveals how Concntric is unlocking capacity and transforming how the built world gets built.

Chapters

00:00 Intro – Why Construction Needed a New Operating System

02:08 From Builder to Founder: Steve Dell’Orto’s Leap Into Tech

07:44 The Problem Hidden in Plain Sight

10:21 Building Concntric: From Stealth Mode to Scale

15:54 “Make Less Work, Not More” – The Simplicity Principle

17:42 How Concntric Is “Bear Hugging” AI

19:03 Agentic AI: The Future of Pre-Construction

25:14 Building Faster Through Human + AI Collaboration

26:40 The Moat: Domain Expertise as the True Differentiator

29:17 Hands-On Relationships in a High-Tech World

32:14 The Magic Wand Question – What’s Next for Concntric

34:26 Closing Thoughts and Where to Find Steve

Resources

🔗 Concntric – https://www.concntric.com

🔗 Connect with Steve Dell’Orto on LinkedIn – https://www.linkedin.com/in/stevedellorto

🔗 Big North Network – https://bignorthnetwork.com/managing-ai

📘 Learn More

Managing AI: Humans, Agents, and the Future of Work — out now from Chris Fanchi.

Learn more and order at https://bignorthnetwork.com/managing-ai

What if your customer data could think - and show you exactly where revenue is won or lost?

In this episode of Pitch, Build, Scale, host Chris Fanchi sits down with Tim Gosnell, Founder of CommonThread AI, to explore how agentic AI is redefining how RevOps and SaaS companies understand customers.

Tim shares the journey from early Atari programming days to building a system that maps every touchpoint and outcome in real time, revealing where relationships thrive, where churn begins, and how AI can elevate human connection rather than replace it.

If you’ve ever struggled with messy CRMs, disconnected pipelines, or “data-driven” decisions that still miss the mark, this conversation will change how you think about growth.

🕒 Chapters

00:00 The Next Revolution: Why AI Is Bigger than E-Commerce

02:00 Tim’s Origin Story: From Atari to AI

06:20 Lessons from Early Startups and the Birth of CommonThread AI

08:45 Fixing CRM Chaos and Building Better Data Pipelines

11:40 Customer Journeys vs. Customer Outcome Maps

15:00 Deep Understanding over “Insights”

17:00 From Retention to Evangelism Why Positive Impact Matters

20:00 RevOps Use Cases and Why Messaging Matters

23:45 AI’s True Impact — A 100-Year Revolution

28:40 Workflow Transformation and AI Specialization

33:00 Agentic AI and the Next Wave of Automation

36:20 Fear, Faith, and the Human Side of AI

40:00 Leadership, BHAGs & Redefining Success

42:00 Where to Connect with Tim Gosnell

🔗 Resources

CommonThread AI → https://www.commonthread.ai

Connect with Tim on LinkedIn → https://www.linkedin.com/in/somepeoplecallmetim/

Grow your revenue with host Chris Fanchi's Big North Marketing → https://bignorthmarketing.com

Conversations like this feed the new book "Managing AI: Humans, Agents, and the Future of Work" by Chris Fanchi — releasing November 18. Visit https://bignorthmarketing.com/managing-ai to learn more and pre-order today!

#customerjourney #crm #revops

What if governments and companies could run simulations to test policy, forecast epidemics, or predict product adoption — before making a single decision?

In this episode of Pitch, Build, Scale, host Chris Fanchi sits down with John Cordier, CEO of Epistemix, to explore how digital twins and agent-based simulation are reshaping the way organizations understand human behavior and forecast change.

Epistemix’s platform builds synthetic populations — nation-scale digital twins that help health systems, pharma brands, and governments model complex societal scenarios from pandemics to consumer trends. Their work helped reopen the global events industry months ahead of schedule during COVID and is now redefining how data science teams simulate real-world systems at scale.

John shares how Epistemix is bridging public health, AI, and behavioral economics, using LLMs to generate models faster, reduce time-to-value from months to a week, and make simulation accessible for both data scientists and decision makers.

If you’ve ever wondered what “SimCity for the real world” looks like, this is it.

🕒 Chapters

00:00 Intro — From AI Agents to Faster Simulations

01:42 John Cordier’s Origin Story and Epistemix’s Founding

06:34 What Is a Digital Twin and How It Works

10:00 Why Pharma and Insurers Are Adopting Simulation

12:36 How Epistemix Helped Reopen the Global Events Industry

15:39 Using Data to Drive Better Decision Making

18:09 Integrating LLMs and AI to Reduce Time-to-Value

21:19 AI, Policy Modeling, and Empathetic Decision Making

25:59 The Future of Simulation in Health and Consumer Markets

28:55 What Success Looks Like in the Next 12 Months

31:41 Making Agent-Based Simulation as Accessible as ChatGPT

33:36 Where to Connect with John Cordier and Epistemix

🔗 Resources

🌐 Epistemix — https://www.epistemix.com

💼 Big North Marketing — https://www.bignorthmarketing.com

💬 Work With Chris & Big North Marketing

Are you a SaaS founder or software agency owner looking to turn your expertise into a revenue-generating content engine? At Big North Marketing, we help tech leaders build audiences and close clients through podcasts, content, and AI-driven outreach.

👉 Book a free growth session at BigNorthMarketing.com